Instructions to use Alistair-R/EncodeHackathonLevelGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alistair-R/EncodeHackathonLevelGen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Alistair-R/EncodeHackathonLevelGen")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Alistair-R/EncodeHackathonLevelGen") model = AutoModelForCausalLM.from_pretrained("Alistair-R/EncodeHackathonLevelGen") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Alistair-R/EncodeHackathonLevelGen with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Alistair-R/EncodeHackathonLevelGen" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Alistair-R/EncodeHackathonLevelGen", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Alistair-R/EncodeHackathonLevelGen
- SGLang
How to use Alistair-R/EncodeHackathonLevelGen with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Alistair-R/EncodeHackathonLevelGen" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Alistair-R/EncodeHackathonLevelGen", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Alistair-R/EncodeHackathonLevelGen" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Alistair-R/EncodeHackathonLevelGen", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Alistair-R/EncodeHackathonLevelGen with Docker Model Runner:
docker model run hf.co/Alistair-R/EncodeHackathonLevelGen
File size: 134 Bytes
b98d287 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6003283563edf92920968a45175d1f360227a7d4928a3c2241b97e5426899e9e
size 327657928
|